no_split

Empty Data Splitter class.

Module Contents

Classes Summary

NoSplit

Does not split the training data into training and validation sets.

Contents

class evalml.preprocessing.data_splitters.no_split.NoSplit(random_seed=0)

Does not split the training data into training and validation sets.

All data is passed as the training set, test data is simply an array of None. To be used for future unsupervised learning, should not be used in any of the currently supported pipelines.

Parameters

random_seed (int) – The seed to use for random sampling. Defaults to 0. Not used.

Methods

get_n_splits	Return the number of splits of this object.
split	Divide the data into training and testing sets, where the testing set is empty.

static get_n_splits()

Return the number of splits of this object.

Returns

Always returns 0.

Return type

int

split(self, X, y=None)

Divide the data into training and testing sets, where the testing set is empty.

Parameters

• X (pd.DataFrame) – Dataframe of points to split

• y (pd.Series) – Series of points to split

Returns

Indices to split data into training and test set

Return type

list

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